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Validation of the British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph reporting
S S Hare1, A N Tavare1, V Dattani1
1Department of Radiology, Royal Free NHS Foundation Trust, London, UK.
Insights
The British Society of Thoracic Imaging guidelines for classifying COVID-19 on chest X-rays show high specificity but moderate sensitivity. Combining "Indeterminate" and "Non-COVID-19" categories improves radiologist agreement for COVID-19 diagnosis.
Area of Science:
- Radiology
- Infectious Disease Imaging
- Thoracic Imaging
Background:
- The COVID-19 pandemic necessitated rapid diagnostic tools.
- Chest radiography is a key imaging modality for COVID-19 assessment.
- Standardized reporting guidelines are crucial for consistent interpretation.
Purpose of the Study:
- To evaluate the reproducibility and diagnostic performance of British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph categorization.
- To assess interobserver agreement among radiologists using these guidelines.
Main Methods:
- Seven consultant radiologists reviewed chest radiographs from 50 COVID-19 patients and 50 controls.
- Radiographs were categorized according to the British Society of Thoracic Imaging guidelines.
- Interobserver agreement was statistically analyzed using Fleiss' kappa and McNemar's tests.
Main Results:
- Excellent specificity (100%) and moderate sensitivity (44%) were observed for the "Classic/Probable COVID-19" category.
- Substantial interobserver agreement (k=0.61) was found for "Classic/Probable COVID-19".
- Fair agreement was noted for "Indeterminate" (k=0.23) and "Non-COVID-19" (k=0.37) categories, with low sensitivity for COVID-19.
Conclusions:
- The proposed guidelines demonstrate high specificity but require refinement for improved sensitivity and interobserver agreement.
- Amalgamating "Indeterminate" and "Non-COVID-19" categories into a "not classic of COVID-19" classification could enhance agreement and reduce misclassification.
- This revised approach would better capture patients with COVID-19 presenting with atypical radiographic findings.
Aim:
To validate the British Society of Thoracic Imaging issued guidelines for the categorisation of chest radiographs for coronavirus disease 2019 (COVID-19) reporting regarding reproducibility amongst radiologists and diagnostic performance.
Materials And Methods:
Chest radiographs from 50 patients with COVID-19, and 50 control patients with symptoms consistent with COVID-19 from prior to the emergence of the novel coronavirus were assessed by seven consultant radiologists with regards to the British Society of Thoracic Imaging guidelines.
Results:
The findings show excellent specificity (100%) and moderate sensitivity (44%) for guideline-defined Classic/Probable COVID-19, and substantial interobserver agreement (Fleiss' k=0.61). Fair agreement was observed for the "Indeterminate for COVID-19" (k=0.23), and "Non-COVID-19" (k=0.37) categories; furthermore, the sensitivity (0.26 and 0.14 respectively) and specificity (0.76, 0.80) of these categories for COVID-19 were not significantly different (McNemar's test p=0.18 and p=0.67).
Conclusion:
An amalgamation of the categories of "Indeterminate for COVID-19" and "Non-COVID-19" into a single "not classic of COVID-19" classification would improve interobserver agreement, encompass patients with a similar probability of COVID-19, and remove the possibility of labelling patients with COVID-19 as "Non-COVID-19", which is the presenting radiographic appearance in a significant minority (14%) of patients.
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